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Field
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engineering, or a related field Strong expertise in computer vision with a focus on modern 3D reconstruction techniques Extensive experience with PyTorch: confident training of machine learning models on single
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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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) on the generated image datasets. Conducting experiments to assess the performance of different models and encoding techniques. What you bring to the table Enrolled Student in Engineering, Mathematics
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scaffold development and cell culture processes. Prior experience with bioreactors and bioreactor process optimization is a plus. Good analytic and imaging skills. Very good communication skills. Highly
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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data science and machine learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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research at the interface of medicine, science and technology and maintain research co-operations with universities all over the world. The research group Medical Systems Biology at the Institute